Optimal Path Planning Using Genetic Algorithm Implementation
This implementation utilizes genetic algorithms for optimal path planning, fully validated by the author with graphical output capabilities for visualization.
MATLAB Computation of Mie Scattering Coefficients
MATLAB program for calculating Mie scattering coefficients. When spherical particles are comparable in size to the wavelength of incident light, Mie scattering occurs, requiring consideration of the three-dimensional charge distribution within scatte
PSO-Optimized BP Neural Network Implementation
This implementation combines Particle Swarm Optimization (PSO) with its rapid convergence characteristics and Backpropagation Neural Networks (BPNN) with strong global search capabilities. The program has been successfully debugged and demonstrates s
MATLAB Implementation of Genetic Algorithm and Ant Colony Optimization for Feature Selection
Hybrid Approach Combining Genetic Algorithm with Ant Colony Optimization for Effective Feature Selection in MATLAB
MATLAB Implementation of Fuzzy C-Means Clustering (FCM) with Code Examples
Application Context: Many undergraduate mathematics theses involve fuzzy mathematics applications. My research focuses on exploring the effectiveness of fuzzy clustering analysis, where FCM algorithm serves as an essential component. This implementat
NORMAL Data Normalization for Pattern Recognition
NORMAL Data Normalization for Pattern Recognition - Essential preprocessing technique for improving data consistency, reliability, and analytical accuracy.
Ant Algorithm Also Known as Ant Colony Optimization
Ant algorithm in MATLAB, also referred to as Ant Colony Optimization (ACO), is primarily used for function optimization and solving optimal value search problems. This bio-inspired algorithm mimics ant foraging behavior to find global optima through
MATLAB Code Implementation of PSO Algorithm
PSO Algorithm Implementation - An Efficient Approach for Multi-Objective Optimization with MATLAB Code Examples
18 Test Function Programs for Intelligent Optimization Algorithms
A MATLAB-implemented collection of 18 test function programs designed for evaluating intelligent optimization algorithms
Handwritten Digit Recognition using Support Vector Machines
Original implementation of Support Vector Machine for handwritten digit recognition achieving 100% accuracy rate with optimized parameter tuning and kernel function selection
Basic Krill Herd Optimization Algorithm
This is a fundamental implementation of the Krill Herd optimization algorithm, designed to be straightforward and practical for beginners exploring swarm intelligence techniques.
Neural Network PID Control Source Code Implementation Guide
Comprehensive documentation on implementing neural network PID control using MATLAB, including detailed explanations of Neural Network Toolbox functions and code implementation strategies
Multiple MATLAB Algorithms for Finding Optimal Solutions and Best Paths
Comprehensive MATLAB algorithms for optimization and path finding including Ant Colony Optimization, Greedy Algorithm, Hamiltonian Algorithm, Floyd Algorithm, Dijkstra Algorithm, Genetic Algorithm with code implementation details
Enhanced Global Particle Swarm Optimization Algorithm
Enhanced global particle swarm optimization algorithm incorporating convergence factors and adaptive inertia weight from contemporary research, demonstrating superior efficiency compared to traditional basic implementations
Particle Swarm Optimization (PSO) - An Evolutionary Computation Technique
Particle Swarm Optimization (PSO) is an evolutionary computation technique invented by Dr. Eberhart and Dr. Kennedy, inspired by bird flock predatory behavior. Similar to genetic algorithms, PSO is an iterative optimization tool that initializes with
Solving the 50-City Traveling Salesman Problem Using Genetic Algorithms
Implementing genetic algorithms to solve the 50-city TSP problem, ideal for beginners with code implementation insights.
Adaptive Prediction Using Linear Neural Networks with Function Implementation
Implementation of adaptive prediction through linear neural networks using the adapt function for online training, enabling real-time adjustment of network weights and biases to track time-varying signals and perform sequence prediction with dynamic
SVM Rank for Classification
SVM rank methodology applied to classification tasks
Research on Microgrid Capacity Optimization Configuration Based on PSO Algorithm
Complete MATLAB implementation for microgrid capacity optimization using Particle Swarm Optimization algorithm with full simulation capabilities and configuration analysis
Comprehensive PSO-Optimized SVM Implementation with Practical Examples
A complete implementation of Particle Swarm Optimization for Support Vector Machine parameter tuning, including detailed examples and practical applications for thorough study and SVM algorithm support